Integrated cooling systems and maximum power point tracking of fuzzy logic controller for improving photovoltaic performances

The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based c...

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Bibliographic Details
Main Authors: Nurul Afiqah, Zainal, A. R., Yusoff, Ajisman, Apen
Format: Article
Language:English
Published: Elsevier Ltd 2019
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Online Access:http://umpir.ump.edu.my/id/eprint/23305/7/Integrated%20cooling%20systems%20and%20maximum%20power%20point.pdf
http://umpir.ump.edu.my/id/eprint/23305/
https://doi.org/10.1016/j.measurement.2018.08.056
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Institution: Universiti Malaysia Pahang
Language: English
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Summary:The nonlinearity of solar irradiation and temperature leads to unstable photovoltaic (PV) outputs and decrease in efficiency. A method based on experimental study is developed to maximize the output of the PV panels using the combination of PV cooling system and fuzzy logic, fuzzy logic (FL)-based constant voltage (CV) maximum power point tracking (MPPT) algorithm. The PV cooling system reduces the PV panel temperature to the optimum temperature, while the FL-based CV MPPT algorithm tracks the maximum power of the PV panel. Experimental results showed that the combination of the two methods in a PV system results in improving the photovoltaic performances. Thus, the PV panel outputs increase when the PV panel works at its optimum temperature. This integrated FL-based CV MPPT controller proves the effectiveness in improving PV performances for any weather condition.